1

From Home Embedded Machine Learning Jobs in McKinney, TX

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join ... from data. Our business value and leadership has been recognized by various market research firms ...

Senior Machine Learning Scientist

Dallas, TX · On-site

  • Medical

  • Life

  • Retirement

  • PTO

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable insights from complex data sets. This role combines deep technical expertise in machine learning with ...

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join ... from data. Our business value and leadership has been recognized by various market research firms ...

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join ... from data. Our business value and leadership has been recognized by various market research firms ...

Machine Learning Engineer

Plano, TX · On-site

$120 - $150/hr

Overview Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI ... from data. Our business value and leadership has been recognized by various market research firms ...

Principal Machine Learning Scientist

Dallas, TX · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Create and select predictive features from raw data. * Create model reports for stakeholder review ... and machine learning modeling techniques for unknown or less well-defined - an unknown problem ...

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be ... support from an employer). The minimum and maximum full-time annual salaries for this role are ...

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be ... support from an employer). The minimum and maximum full-time annual salaries for this role are ...

Principal Machine Learning Scientist

Dallas, TX · Remote

  • Medical

  • Life

  • Retirement

  • PTO

Create and select predictive features from raw data. * Create model reports for stakeholder review ... and machine learning modeling techniques for unknown or less well-defined - an unknown problem ...

Machine Learning Engineer

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... the machine learning function at a market-leading insurance company. As one of the first data ... Specific activities may change from time to time. 1. Develop customized coding, software ...

Showing results 21-40

From Home Embedded Machine Learning information

See McKinney, TX salary details

$65K

$142.3K

$161.5K

How much do from home embedded machine learning jobs pay per year?

As of Aug 15, 2026, the average yearly pay for from home embedded machine learning in McKinney, TX is $142,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $160,600.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Embedded Machine Learning jobs in McKinney, TX?

The most popular types of Embedded Machine Learning jobs in McKinney, TX are:

What are popular job titles related to From Home Embedded Machine Learning jobs in McKinney, TX?

For From Home Embedded Machine Learning jobs in McKinney, TX, the most frequently searched job titles are:

What job categories do people searching From Home Embedded Machine Learning jobs in McKinney, TX look for?

The top searched job categories for From Home Embedded Machine Learning jobs in McKinney, TX are:

What cities near McKinney, TX are hiring for From Home Embedded Machine Learning jobs?

Cities near McKinney, TX with the most From Home Embedded Machine Learning job openings:

Machine Learning Engineer - New Grad 2026

Nextdoor

Dallas, TX • On-site

$150K - $175K/yr

Full-time

PTO

This job post has expired today. Applications are no longer accepted.


Job description

#TeamNextdoor
Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.
Meet Your Future Neighbors
At Nextdoor, Machine Learning is one of the most critical teams we are growing. ML is transforming our product through personalization, driving significant impact across various platform components, including newsfeed, notifications, ad relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great machine learning engineers who believe in the power of the local community to empower our members to make their communities great places to live.
At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we're looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.
We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.
The Impact You'll Make
You will be part of an avid and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis.
  • Build and iterate on ML-driven products to foster creativity, discovery, and engagement on Nextdoor
  • Develop personalized content and user recommendation systems that millions of users rely on daily
  • Run and analyze live user-facing experiments to iterate on model quality
  • Collaborate with other engineers and data scientists to create optimal experiences on the platform
  • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
  • Build in-person relationships with team members and contribute to Nextdoor's company culture

We have MLE positions across multiple tracks, including Feed, Notifications, Ads, Network Growth, Knowledge Graph, and ML Platform.
What You'll Bring To The Team
  • Master's Degree or Ph.D. in Computer Science, Applied Math, Statistics, or a related field, graduating in December 2025/May-June 2026
  • Deep understanding of machine learning concepts (e.g. deep learning) and applications (e.g. recommender systems, knowledge graph)
  • Internship in machine learning engineering in a related field (e.g. social networking, e-commerce)
  • Strong programming skills in Python or Java
  • Effective communication and collaboration skills
  • Passion for Nextdoor's mission and purpose
  • Bonus Points - Industry experience of applying machine learning at scale
Rewards
Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications.
The starting salary for this role is expected to be $150,000 to $175,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location.
We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.
Perks & Benefits
We've got you covered! We are dedicated to supporting your personal and professional growth with a comprehensive benefits package that includes:
  • Access to benefits (including mental health benefits, commuter benefits, wellness benefits, gender affirming care, etc)
  • Flexible paid time off
  • Dedicated volunteer days
  • Stocked micro-kitchens and lunches at our offices
  • Ability to join any of our Employee Resource Groups (ERGs)

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.